May 1, 2024
3 minute read
Machine learning bias is a phenomenon that occurs when a machine learning model makes predictions that are biased toward or against a particular group. This can happen due to a variety of factors, including the data used to train the model, the algorithms used to train the model, and the assumptions made by the model's designers.
Why is Machine Learning Bias Important?
Machine learning bias is important because it can have a significant impact on the fairness and accuracy of machine learning models. For example, a machine learning model that is biased toward a particular group of people may make inaccurate predictions for members of that group. This can lead to discrimination and other forms of harm.
What Causes Machine Learning Bias?
There are a number of factors that can contribute to machine learning bias. These factors include:
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Find a path to becoming a Machine Learning Bias. Learn more at:
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Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Machine Learning Bias.
Explores the ethical implications of machine learning, with a focus on bias and fairness. It is written by Michael Kearns and Aaron Roth, two leading researchers in the field of AI ethics.
Provides a comprehensive overview of statistical learning, with a focus on the mathematical foundations of machine learning.
Provides a comprehensive overview of data mining and machine learning. It is written by two leading researchers in the field.
Provides a comprehensive overview of machine learning. It is written by a leading researcher in the field.
Provides a comprehensive overview of machine learning, with a focus on the practical aspects of building and deploying machine learning models.
Provides a practical guide to machine learning. It is written by a leading researcher in the field.
Provides a practical guide to machine learning techniques for data mining. It is written by two leading researchers in the field.
Provides a gentle introduction to machine learning. It is written by two leading researchers in the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/ccxut1/machine
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